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Accounting Data, Market Values, and the Cross Section of Expected Returns Worldwide
Author(s) -
Akash Chattopadhyay,
Matthew R. Lyle,
Charles C. Y. Wang
Publication year - 2015
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.2613366
Subject(s) - accounting , section (typography) , financial economics , business , economics , econometrics , advertising
Under fairly general assumptions, expected stock returns are a linear combination of two accounting fundamentals ― book to market and ROE. Empirical estimates based on this relation predict the cross section of out-of-sample returns in 26 of 29 international equity markets, with a highly significant average slope coefficient of 1.05. In sharp contrast, standard factor-model-based proxies fail to exhibit predictive power internationally. We show analytically and empirically that the importance of ROE in forecasting returns depends on the quality of accounting information. Overall, a tractable accounting-based valuation model provides a unifying framework for obtaining reliable proxies of expected returns worldwide.

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